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docs(readme): remove underlines between badges (#5283)
Fix the visual inconsistency caused by unintended underlines between badges in the README.
The underlines were appearing due to whitespace text nodes within anchor tags wrapping the badges, which triggered the default `text-decoration: underline` style for links.
|**Engine name**|**Support underlying component version<br/>(default dependency version)**|**Linkis Version Requirements**|**Included in Release Package By Default**|**Description**|
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|:----|:----|:----|:----|:---- |
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|Spark|Apache >= 2.0.0, <br/>CDH >= 5.4.0, <br/>(default Apache Spark 3.2.1)|\>=1.0.3|Yes|Spark EngineConn, supports SQL , Scala, Pyspark and R code|
|JDBC|MySQL >= 5.0, Hive >=1.2.1, <br/>(default Hive-jdbc 2.3.4)|\>=1.0.3|No |JDBC EngineConn, already supports ClickHouse, DB2, DM, Greenplum, kingbase, MySQL, Oracle, PostgreSQL and SQLServer, can be extended quickly Support other DB, such as SQLite|
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|Flink |Flink >= 1.12.2, <br/>(default Apache Flink 1.12.2)|\>=1.0.2|No |Flink EngineConn, supports FlinkSQL code, also supports starting a new Yarn in the form of Flink Jar Application|
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|Pipeline|-|\>=1.0.2|No|Pipeline EngineConn, supports file import and export|
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|openLooKeng|openLooKeng >= 1.5.0, <br/>(default openLookEng 1.5.0)|\>=1.1.1|No|openLooKeng EngineConn, supports querying data virtualization engine with Sql openLooKeng|
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|Sqoop| Sqoop >= 1.4.6, <br/>(default Apache Sqoop 1.4.6)|\>=1.1.2|No|Sqoop EngineConn, support data migration tool Sqoop engine|
|**Engine name**|**Support underlying component version<br/>(default dependency version)**|**Linkis Version Requirements**|**Included in Release Package By Default**|**Description**|
|JDBC|MySQL >= 5.0, Hive >=1.2.1, <br/>(default Hive-jdbc 2.3.4)|\>=1.0.3|No |JDBC EngineConn, already supports ClickHouse, DB2, DM, Greenplum, kingbase, MySQL, Oracle, PostgreSQL and SQLServer, can be extended quickly Support other DB, such as SQLite|
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|Flink |Flink >= 1.12.2, <br/>(default Apache Flink 1.12.2)|\>=1.0.2|No |Flink EngineConn, supports FlinkSQL code, also supports starting a new Yarn in the form of Flink Jar Application|
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|Pipeline| - |\>=1.0.2| No |Pipeline EngineConn, supports file import and export|
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|openLooKeng|openLooKeng >= 1.5.0, <br/>(default openLookEng 1.5.0)|\>=1.1.1| No |openLooKeng EngineConn, supports querying data virtualization engine with Sql openLooKeng|
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|Sqoop| Sqoop >= 1.4.6, <br/>(default Apache Sqoop 1.4.6)|\>=1.1.2| No |Sqoop EngineConn, support data migration tool Sqoop engine|
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|Presto|Presto >= 0.180|\>=1.2.0| No |Presto EngineConn, supports Presto SQL code|
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|ElasticSearch|ElasticSearch >=6.0|\>=1.2.0| No |ElasticSearch EngineConn, supports SQL and DSL code|
@@ -186,19 +185,19 @@ Below is the Linkis architecture diagram. You can find more detailed architectur
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# Contributing
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Contributions are always welcomed, we need more contributors to build Linkis together. either code, or doc, or other supports that could help the community.
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Contributions are always welcomed, we need more contributors to build Linkis together. either code, or doc, or other supports that could help the community.
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For code and documentation contributions, please follow the [contribution guide](https://linkis.apache.org/community/how-to-contribute).
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# Contact Us
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- Any questions or suggestions please kindly submit an [issue](https://github.com/apache/linkis/issues).
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- Any questions or suggestions please kindly submit an [issue](https://github.com/apache/linkis/issues).
We opened an issue [[Who is Using Linkis]](https://github.com/apache/linkis/issues/23) for users to feedback and record who is using Linkis.
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We opened an issue [[Who is Using Linkis]](https://github.com/apache/linkis/issues/23) for users to feedback and record who is using Linkis.
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Since the first release of Linkis in 2019, it has accumulated more than **700** trial companies and **1000+** sandbox trial users, which involving diverse industries, from finance, banking, tele-communication, to manufactory, internet companies and so on.
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